Visual analysis of mask sales data based on crawler

The outbreak of COVID-19 makes people feel distant from each other, and masks have become one of the indispensable articles in People's Daily life. At present, there are many brands of masks with various types and uneven quality. In order to understand the current market of masks and the sales of different brands, users can choose masks with perfect quality. This paper uses Python web crawler technology, based on the input of the word "mask", crawl JD website sales data, through data visualization technology drawing histogram, pie chart, the word cloud, etc., for goods compared with the relationship between price, average price of all brands, brands, average distribution of analysis and evaluation of user information, In this way, the sales situation, price distribution and quality evaluation of each store of the product can be visually displayed. At the same time, it also provides some reference for other users who need to buy the product. © The Authors. Published under a Creative Commons Attribution CC-BY 3.0 License.

Reconfiguration of L2 Chinese Learners' Ecologies of Resources During the COVID-19 Pandemic in China and the US

This chapter examines how L2 Chinese learners' ecologies of resources were reconfigured at universities in China and the US when face-to-face instruction was abruptly migrated to remote delivery in response to the COVID-19 pandemic. This chapter first conceptualizes four general categories of resources that support the L2 Chinese learners, that is, environment, technological tools, people, and knowledge and skills, then identifies the specific resources available to them during this global crisis and discusses how these resources interacted with the L2 Chinese learners to support their learning. Findings indicate that all four categories of resources were significantly restructured. While similarities can be found in how the ecologies of resources were reconfigured at universities in China and the US, some differences and reasons behind them were highlighted as well. © The Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022.

Bibliometric analysis and system review of vehicle routing optimization for emergency material distribution

Determining the optimal vehicle routing of emergency material distribution (VREMD) is one of the core issues of emergency management, which is strategically important to improve the effectiveness of emergency response and thus reduce the negative impact of large-scale emergency events. To summarize the latest research progress, we collected 511 VREMD-related articles published from 2010 to the present from the Scopus database and conducted a bibliometric analysis using VOSviewer software. Subsequently, we cautiously selected 49 articles from these publications for system review;sorted out the latest research progress in model construction and solution algorithms;and summarized the evolution trend of keywords, research gaps, and future works. The results show that do -mestic scholars and research organizations held an unqualified advantage regarding the number of published papers. However, these organizations with the most publications performed poorly regarding the number of literature citations. China and the US have contributed the vast majority of the literature, and there are close collaborations between researchers from both countries. The optimization model of VREMD can be divided into single-, multi-, and joint-objective models. The shortest travel time is the most common optimization objective in the single-objective optimization model. Several scholars focus on multiobjective optimization models to consider conflicting objectives simultaneously. In recent literature, scholars have focused on the impact of uncertainty and special events (e.g., COVID-19) on VREMD. Moreover, some scholars focus on joint optimization models to optimize vehicle routes and central locations (or material allocation) simultaneously. So-lution algorithms can be divided into two primary categories, i.e., mathematical planning methods and intelligent evolutionary algorithms. The branch and bound algorithm is the most dominant mathematical planning algorithm, while genetic algorithms and their enhancements are the most commonly used intelligent evolutionary algorithms. It is shown that the nondominated sorting genetic algorithm II (NSGA-II) can effectively solve the multiobjective model of VREMD. To further improve the algorithm's performance, re-searchers have proposed improved hybrid intelligent algorithms that combine the ad-vantages of NSGA-II and certain other algorithms. Scholars have also proposed a series of optimization algorithms for specific scenarios. With the development of new technologies and computation methods, it will be exciting to construct optimization models that consider uncertainty, heterogeneity, and temporality for large-scale real-world issues and develop generalized solution approaches rather than those applicable to specific scenarios.(c) 2022 Periodical Offices of Chang'an University. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC -ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Early antiviral therapy of abidol combined with lopinavir/ritonavir and recombinant interferon alpha-2b for patients with COVID-19 in Zhejiang: A multicenter prospective study.

Objective: To compare the efficacy of the combination of abidol, lopinavir/ritonavir plus recombinant interferon alpha-2b (rIFNalpha-2b) and the combination of lopinavir/ritonavir plus rIFNalpha-2b for patients with COVID-19 in Zhejiang province. Method(s): A multicenter prospective study was carried out to compare the efficacy of triple combination antiviral therapy and dual combination antiviral therapy in 15 medical institutions of Zhejiang province during January 22 to February 16, 2020. All patients were treated with rIFNalpha-2b (5 million U, 2 times/d) aerosol inhalation, in addition 196 patients were treated with abidol (200 mg, 3 times/d) + lopinavir/ritonavir (2 tablets, 1 time/12 h) (triple combination group) and 41 patients were treated with lopinavir/ritonavir (2 tablets, 1 time/12 h) (dual combination group). The patients who received triple combination antiviral therapy were further divided into three subgroups: <48 h, 3-5 d and >5 d according the time from the symptom onset to medication starting. The therapeutic efficacy was compared between triple combination group and dual combination group, and compared among 3 subgroups of patients receiving triple combination antiviral therapy. SPSS 17.0 software was used to analyze the data. Result(s): The virus nucleic acid-negative conversion time in respiratory tract specimens was (12.2+/-4.7) d in the triple combination group, which was shorter than that in the dual combination group [(15.0+/-5.0) d] (t=6.159, P<0.01). The length of hospital stay in the triple combination group [12.0 (9.0, 17.0) d] was also shorter than that in the dual combination group [15.0 (10.0, 18.0) d] (H=2.073, P<0.05). Compared with the antiviral treatment which was started within after the symptom onset of in the triple combination group, the time from the symptom onset to the viral negative conversion was 13.0 (10.0, 17.0), 17.0 (13.0, 22.0) and 21.0 (18.0, 24.0) d in subgroups of 48 h, 3-5 d and >5 d, respectively (Z=32.983, P<0.01), while the time from antiviral therapy to viral negative conversion was (11.8+/-3.9), (13.5+/-5.1) and (11.2+/-4.3) d, respectively(Z=6.722, P<0.05). Conclusion(s): The triple combination antiviral therapy of abidol, lopinavir/litonavir and rIFNalpha-2b shows shorter viral shedding time and shorter hospitalization time, compared with the dual combination antiviral therapy;and the earlier starting triple combination antiviral therapy will result in better antiviral efficacy.Copyright © 2020 by the Chinese Medical Association.

Understanding Residents' Behavior for Smart City Management by Sequential and Periodic Pattern Mining

Understanding the residents’routine and repetitive behavior patterns is important for city planners and strategic partners to enact appropriate city management policies. However, the existing approaches reported in smart city management areas often rely on clustering or machine learning, which are ineffective in capturing such behavioral patterns. Aiming to address this research gap, this article proposes an analytical framework, adopting sequential and periodic pattern mining techniques, to effectively discover residents’routine behavior patterns. The effectiveness of the proposed framework is demonstrated in a case study of American public behavior based on a large-scale venue check-in dataset. The dataset was collected in 2020 (during the global pandemic due to COVID-19) and contains 257 561 check-in data of 3995 residents. The findings uncovered interesting behavioral patterns and venue visit information of residents in the United States during the pandemic, which could help the public and crisis management in cities. IEEE

COVID19 and China's International Higher Education Policies

In 2010, China announced its aspiration to build the Study in China initiative into a global education brand. A decade of active and strategic policymaking ensued and spurred the growth of international higher education in the rising Asian power. Its overarching objective of becoming the largest study-abroad destination in Asia by 2020 was fulfllled ahead of schedule in 2017. However, as the COVID19 pandemic disrupted international mobilities and stunted international education in many countries, the Study in China initiative has also encountered unprecedented challenges. This study analyses the Chinese policies on international higher education between 2020 and mid-2022, and international students' online queries and responses to these policies. This paper concludes with implications of international students' experiences since-COVID for China's international education sector. © QI JING AND MA CHENG, 2023.

ADVERSE EVENTS & SEROLOGICAL RESPONSES FOLLOWING SARS-COV-2 VACCINATION IN INDIVIDUALS WITH INFLAMMATORY BOWEL DISEASE

Background The rapid development and distribution of SARS-CoV-2 vaccines has raised concerns surrounding vaccine safety in immunocompromised populations, such as those with inflammatory bowel disease (IBD). Purpose We described adverse events (AEs) following SARS-CoV-2 vaccination in those with IBD and determined relationships between AEs to post-vaccination antibody titres. Method Individuals with IBD from a prospective cohort in Calgary, Canada (n=670) who received a 1st, 2nd, 3rd, and/or 4th dose of a SARS-CoV-2 vaccine (Pfizer-BioNTech, Moderna, and/or AstraZeneca) were interviewed via telephone for AEs using the Adverse Events Following Immunization form. Subsequently, we assessed injection site reaction as a specific AE outcome. Multivariable logistic regression models were used to assess the association between anti-SARS-CoV-2 spike protein antibody (anti-S) levels within 1–12 weeks of vaccination and injection site reaction following 1st, 2nd, and 3rd dose vaccination. Models were adjusted for age, sex, IBD type, IBD medications, vaccine type, and prior COVID-19 infection. Additionally, we evaluated the risk of flare of IBD within 30 days of vaccination via chart review. Result(s) Table 1 describes AEs in individuals with IBD following 1st dose (n=331), 2nd dose (n=331), 3rd dose (n=195), and 4th dose (n=100) of a SARS-CoV-2 vaccine. AEs were reported in 83.3% of participants after 1st dose, 79.1% after 2nd dose, 77.4% after 3rd dose, and 67.0% after 4th dose. Injection site reaction (pain, redness, etc.) was the most common AE (50.8% of AEs), with fatigue and malaise (18.1%), headache and migraine (8.6%), musculoskeletal discomfort (8.2%), and fever and chills (6.5%) also commonly reported. Multivariable logistic regression determined no associations between anti-S concentration and injection site reaction for all doses. Age above 65 years was associated with decreased injection site reaction following 1st and 3rd doses, while female sex and mRNA vaccine type were associated with increased injection site reaction following 1st and 2nd doses. Prior COVID-19 infection, IBD type, and medication class were not associated with injection site reaction with any dose. Only one participant was diagnosed with a severe AE requiring hospitalization: Immune thrombocytopenic purpura (ITP) following 2nd dose of a Pfizer vaccination. No cases of IBD flare occurred within 30 days of vaccination. Image Conclusion(s) AEs following SARS-CoV-2 vaccination are generally mild and become less common with each consecutive dose. Antibody levels following each dose of the vaccine were not associated with injection site reactions. Females, those under 65 years of age, and those administered mRNA vaccines were more likely to experience an injection site reaction. Prior COVID-19 infection, IBD type, and IBD medication class did not predict injection site reactions. Vaccination was not associated with IBD flare within 30 days of vaccination. Please acknowledge all funding agencies by checking the applicable boxes below Other Please indicate your source of funding;Helmsley Disclosure of Interest A. Markovinovic: None Declared, M. Herauf: None Declared, J. Quan: None Declared, L. Hracs: None Declared, J. Windsor: None Declared, N. Sharifi: None Declared, S. Coward: None Declared, L. Caplan: None Declared, J. Gorospe: None Declared, C. Ma Grant / Research support from: Ferring, Pfizer, , Consultant of: AbbVie, Alimentiv, Amgen, Ferring, Pfizer, Takeda, , Speakers bureau of: AbbVie, Alimentiv, Amgen, Ferring, Pfizer, Takeda, R. Panaccione Grant / Research support from: AbbVie, Ferring, Janssen, Pfizer, Takeda, Consultant of: Abbott, AbbVie, Alimentiv, Amgen, Arena, AstraZeneca, Boehringer Ingelheim, Bristol Myers Squibb, Celgene, Celltrion, Cosmos Pharmaceuticals, Eisai, Elan, Eli Lilly, Ferring, Galapagos, Genentech, Gilead Sciences, GlaxoSmithKline, Janssen, Merck, Mylan, Oppilan Pharma, Pandion Therapeutics, Pandion Pharma, Pfizer, Progenity, Pro agonist, Roche, Sandoz, Satisfai Health, Schering-Plough, Shire, Sublimity Therapeutics, Takeda, Theravance, UCB, Speakers bureau of: AbbVie, Arena, Celgene, Eli Lilly, Ferring, Gilead Sciences, Janssen, Merck, Pfizer, Roche, Sandoz, Shire, Takeda, R. Ingram: None Declared, J. Kanji: None Declared, G. Tipples: None Declared, J. Holodinsky: None Declared, C. Berstein Grant / Research support from: AbbVie, Amgen, Janssen, Pfizer, Takeda, Speakers bureau of: AbbVie, Janssen, Pfizer, Takeda, D. Mahoney: None Declared, S. Bernatsky: None Declared, E. Benchimol: None Declared, G. Kaplan Grant / Research support from: Ferring, Speakers bureau of: AbbVie, Janssen, Pfizer

Creative and visual communication of health research: development of a graphic novel to share children's neighbourhood perspectives of COVID-19 lockdowns in Aotearoa New Zealand

Research dissemination to target stakeholders including communities, policymakers and practitioners is a fundamental element of successful research projects. For many of these stakeholders, however, barriers to access and uptake exist, including time taken to publish, academic jargon, language barriers, paywalled articles and time taken to consume and understand academic outputs. Ultimately these barriers could prevent research from reaching target audiences or could severely delay the uptake of key research messages. Creative and visual dissemination approaches as a complement to traditional academic outputs offer numerous advantages and may improve real-world uptake in a timely manner. In this practitioner piece, the authors present detailed methods for the development of a graphic novel using research findings from an online survey that asked children what they liked about their neighbourhood during COVID-19 lockdowns in Aotearoa New Zealand. Here, they share critical reflections from the process of developing and disseminating this creative communication, with the aim of informing and supporting future creative and visual dissemination of research findings. © The Author(s) 2023.

DEMOGRAPHIC, SOCIAL AND OCCUPATIONAL FACTORS THAT PREVENTED EXPOSURE TO SARS-COV-2 IN INFLAMMATORY BOWEL DISEASE PATIENTS DURING THE COVID-19 PANDEMIC: A PROSPECTIVE COHORT STUDY

Background The COVID-19 pandemic caused by the SARS-CoV-2 virus is a rapidly evolving public health emergency in which mundane behaviors such as grocery shopping or restaurant dining are considered high-risk for some, such as persons with inflammatory bowel disease (IBD) who are often immunodeficient due to medications. Research on the behavioral exposures experienced by populations with IBD during the COVID-19 pandemic are lacking. Purpose We aim to better understand how the behaviors of persons with IBD are associated with COVID-19 diagnoses. Method We conducted a prospective serosurveillance cohort study in Calgary to assess exposure to SARS-CoV-2 from Nov. 1, 2020 to Aug. 8, 2022 in 485 individuals with IBD. A diagnosis of SARS-CoV-2 was defined as a molecular-confirmed PCR test, a self-report home antigen test, or a positive nucleocapsid antibody level. Participants completed a self-report electronic questionnaire on social and occupational risk activities stratified across two time periods: Jan. 2020 to Mar. 2020 (before lockdown) and post-Jun. 2020 (post lockdown). Univariate analyses (χ2 and Fischer's exact if n≤5) were performed on social activities that occurred following the lockdown among those with IBD who were and were not diagnosed with COVID-19. Occupational exposures were compared across essential workers (EW) (i.e., frontline workers at high risk of COVID) and non-EWs. Result(s) Overall, 37.5% (n=182) of our cohort was diagnosed with COVID-19. Seniors were less likely to be infected with COVID-19 (22.7%) compared to those under the age of 65 (40.8%) (p=0.002). A greater proportion of females (42.6 %) compared to males (32.5%) were COVID positive (p=0.02). Those with Crohn's disease (38.3%) were as likely to test positive for COVID-19 as those with ulcerative colitis (36%) (p=0.65). COVID positive patients were less likely to have 4 vaccine doses (28.5%) compared to those who tested negative (71.5%) (p=0.4). Statistically significant decreases (p<0.001) in engagement post-Jun. 2020 were observed for: bar use (11.6% to 2.1%), visiting a friend (44.5% to 15.2%), having visitors over (38.7% to 12.1%), restaurant dining (38% to 9%), indoor fitness (31.9% to 8.4%), and transit use (11% to 1.3%). There was an increase in regular use of outdoor fitness (31.9% to 67.1%, p<0.003). Persons with IBD who tested positive for COVID-19 were more likely to regularly dine in a restaurant (16.8% vs. 4.7% for COVID negative, p<0.001), engage in indoor fitness activities (14% vs. 5.1%, p<0.001), and travel outside Calgary (21% vs. 11.2%, p=0.004) post-lockdown. Post-lockdown, a greater proportion of EW were COVID positive (50.4%) compared to non-EW (38.6%) (p=0.04). Image Conclusion(s) Over a two-year period, two-thirds of our cohort did not test positive for COVID-19. Those with IBD who avoided COVID tended to be older, male, have 4 doses of vaccine, and reduce their risk of exposure through social and occupational modifications, perhaps in response to public health guidance. Disclosure of Interest None Declared

Early antiviral therapy of abidol combined with lopinavir/ritonavir and recombinant interferon alpha-2b for patients with COVID-19 in Zhejiang: A multicenter prospective study.

Objective: To compare the efficacy of the combination of abidol, lopinavir/ritonavir plus recombinant interferon alpha-2b (rIFNalpha-2b) and the combination of lopinavir/ritonavir plus rIFNalpha-2b for patients with COVID-19 in Zhejiang province. Method(s): A multicenter prospective study was carried out to compare the efficacy of triple combination antiviral therapy and dual combination antiviral therapy in 15 medical institutions of Zhejiang province during January 22 to February 16, 2020. All patients were treated with rIFNalpha-2b (5 million U, 2 times/d) aerosol inhalation, in addition 196 patients were treated with abidol (200 mg, 3 times/d) + lopinavir/ritonavir (2 tablets, 1 time/12 h) (triple combination group) and 41 patients were treated with lopinavir/ritonavir (2 tablets, 1 time/12 h) (dual combination group). The patients who received triple combination antiviral therapy were further divided into three subgroups: <48 h, 3-5 d and >5 d according the time from the symptom onset to medication starting. The therapeutic efficacy was compared between triple combination group and dual combination group, and compared among 3 subgroups of patients receiving triple combination antiviral therapy. SPSS 17.0 software was used to analyze the data. Result(s): The virus nucleic acid-negative conversion time in respiratory tract specimens was (12.2+/-4.7) d in the triple combination group, which was shorter than that in the dual combination group [(15.0+/-5.0) d] (t=6.159, P<0.01). The length of hospital stay in the triple combination group [12.0 (9.0, 17.0) d] was also shorter than that in the dual combination group [15.0 (10.0, 18.0) d] (H=2.073, P<0.05). Compared with the antiviral treatment which was started within after the symptom onset of in the triple combination group, the time from the symptom onset to the viral negative conversion was 13.0 (10.0, 17.0), 17.0 (13.0, 22.0) and 21.0 (18.0, 24.0) d in subgroups of 48 h, 3-5 d and >5 d, respectively (Z=32.983, P<0.01), while the time from antiviral therapy to viral negative conversion was (11.8+/-3.9), (13.5+/-5.1) and (11.2+/-4.3) d, respectively(Z=6.722, P<0.05). Conclusion(s): The triple combination antiviral therapy of abidol, lopinavir/litonavir and rIFNalpha-2b shows shorter viral shedding time and shorter hospitalization time, compared with the dual combination antiviral therapy;and the earlier starting triple combination antiviral therapy will result in better antiviral efficacy.Copyright © 2020 by the Chinese Medical Association.

DURABILITY OF SEROLOGICAL RESPONSES AFTER SECOND, THIRD AND FOURTH DOSE OF SARS-COV-2 VACCINATION IN INFLAMMATORY BOWEL DISEASE: A PROSPECTIVE COHORT STUDY

Background Adequate serological responses following two-dose regimens and additional doses of SARS-CoV-2 vaccination have been demonstrated for the vast majority of those with IBD. However, antibody levels following 2nd, 3rd, and 4th dose SARS-CoV-2 vaccination may decrease over time in the IBD population. Purpose We assessed the durability of serological responses to 2nd, 3rd, and 4th dose SARS-CoV-2 vaccination over time in a cohort of IBD patients. Method Adults with IBD who received at least one dose of a SARS-CoV-2 vaccine (n=559) were evaluated for serological response to the spike protein of SARS-CoV-2 using the Abbott IgG II Quant assay with a seroconversion threshold of ≥ 50 AU/mL. The geometric mean titer (GMT) with 95% confidence intervals (CI) were calculated and stratified by weeks (1–8, 8–16, 16–24, 24+ weeks) after each vaccine dose. We compared stratified GMTs with Mann–Whitney U tests using a significance level of 0.05. Result(s) Our cohort (n=559) comprised the following patient characteristics: 82.8% were 18–65 years-old (n = 463), 53.1% were female (n =297), and 71.6% had Crohn's disease (n =400). IBD medications were classified in the following mutually exclusive groups: No immunosuppressives 10.5% (n = 59), anti-TNF monotherapy 35.8% (n = 200), immunomodulatory monotherapy 2.1% (n =12 ), vedolizumab 11.8% (n =66 ), ustekinumab 20.4% (n =114 ), tofacitinib 1.2% (n =7 ), combination therapy 15.9% (n = 89), and prednisone 2.1% (n =12). For vaccine type, 85.6% and 82.3% had Pfizer for 3rd and 4th dose, respectively, while the remainder had Moderna. Seroconversion rates 1–8 weeks after 3rd and 4th dose were both 99.9%. Figure 1 compares GMTs with 95% CI by weeks after each vaccine dose. GMTs are highest 1–8 weeks after 2nd dose (4053 AU/mL;95% CI: 3468, 4737 AU/mL;n=337), 3rd dose (12116 AU/mL;10413, 14098 AU/mL;n=256), and 4th dose (14337 AU/mL;10429, 19710 AU/mL;n=67). Subsequently, antibody levels decay from 1–8 weeks to 8–16 weeks (p<0.001) for 2nd dose (mean difference: –2224 AU/mL), 3rd dose (mean difference: –7526 AU/mL), and 4th dose (mean difference: –9715 AU/mL). Compared to 16–24 weeks after 2nd dose, antibody levels 24+ weeks after were similar (GMTs: 795 AU/mL vs. 1043 AU/mL, p=0.52). For third dose, antibody levels 8–16 weeks and 16–24 weeks after vaccination were similar (4590 AU/mL vs. 4073 AU/mL, p=0.73) along with 16–24 weeks compared to 24+ weeks after vaccination (4073 AU/mL vs. 5876 AU/mL, p=0.18). Image Conclusion(s) Within 1–8 weeks after each dose of vaccine, serological responses spikes with each subsequent dose yielding a higher GMT. While antibody levels decay 8–16 weeks after each dose, similar GMT levels beyond 16 weeks may indicate durability of antibody levels over a longer duration of time. Disclosure of Interest None Declared

Collaborative Determination Method of Metro Train Plan Adjustment and Passenger Flow Control under the Impact of COVID-19

Aiming at the problem of metro operation and passenger transport organization under the impact of the novel coronavirus (COVID-19), a collaborative determination method of train planning and passenger flow control is proposed to reduce the train load rate in each section and decrease the risk of spreading COVID-19. The Fisher optimal division method is used to determine reasonable passenger flow control periods, and based on this, different flow control rates are adopted for each control period to reduce the difficulty of implementing flow control at stations. According to the actual operation and passenger flow changes, a mathematical optimization model is established. Epidemic prevention risk values (EPRVs) are defined based on the standing density criteria for trains to measure travel safety. The optimization objectives of the model are to minimize the EPRV of trains in each interval, the passenger waiting time and the operating cost of the corporation. The decision variables are the number of running trains during the study period and the flow control rate at each station. The original model is transformed into a single-objective model by the linear weighting of the target, and the model is solved by designing a particle swarm optimization and genetic algorithm (PSO-GA). The validity of the method and the model is verified by actual metro line data. The results of the case study show that when a line is in the moderate-risk area of COVID-19, two more trains should be added to the full-length and short-turn routes after optimization. Combined with the flow control measures for large passenger flow stations, the maximum train load rate is reduced by 35.18%, and the load rate of each section of trains is less than 70%, which meets the requirements of COVID-19 prevention and control. The method can provide a theoretical basis for related research on ensuring the safety of metro operation during COVID-19.

A Quantitative Approach and Preliminary Application in Healthy Subjects and Patients with Valvular Heart Disease for 24-h Breathing Patterns Analysis Using Wearable Devices

The 24-h breathing patterns may be closely related to health status as well as disease progression. However, there is no consistent and widely accepted approach for mining the potential value in 24-h respiratory signals based on wearable device monitoring. This study presented a reference approach including signal quality assessment, calibration of tidal volume, and breathing patterns parameters based on a wearable continuous physiological parameter monitoring system for 24-h breathing patterns analysis, including time domain, frequency domain and nonlinear domain. 70 healthy subjects and 76 patients undergoing heart valve surgery were enrolled in this study. The normal reference range of breathing patterns was calculated based on healthy subjects. A subgroup study was conducted based on whether patients developed postoperative pulmonary complications (PPCs). Compared with non-PPCs group, the coefficient of variation of breathing rate in the recumbent position was smaller in the PPCs group. During the daytime, the kurtosis of breathing rate and contribution of the abdomen was smaller in PPCs group. During the nighttime, the coefficient of variation of breathing rate and SD2 was smaller in the PPCs group. The quantitative method proposed in this study fills the gap in the field of quantifying 24-h breathing patterns which is effective in discriminating different populations and is expected to be used widely in the context of COVID-19 epidemic. © 2022 IEEE.

Connecting Postgraduate Students and Older Adults in the Community to Support Wellbeing: A Service-Learning Module During COVID-19 and Beyond. A Practice Report

The aim of this practice report is to discuss the implementation of a service-learning module developed to support the psychological wellbeing of postgraduate students and older adults in the community, with a view to fostering their connection and tackling loneliness in both populations. The module, ‘Self-Identity, Intergenerational and Intercultural Learning’ (SIIL), was offered to students enrolled in the Mental Health Studies Master of Science at the Institute of Psychiatry, Psychology & Neuroscience, King’s College London. The module included lectures on the scientific underpinnings of wellbeing and ageism positionally within intercultural and intergenerational contexts. Students were introduced to qualitative research with a focus on autoethnography. They engaged with older adults through phone conversations and undertook wellbeing-promoting experiential exercises and self-reflection. The interactions provided students the opportunity to learn at an academic and personal level, while allowing older adults to share their experiences during the COVID-19 pandemic. These lessons learnt will inform future practice. Future directions for further developments of this methodology in other disciplines are also discussed in this practice report. © The Author/s 2022.

Hi-Geo-Ti: A Visual Analytic Design for Pedestrian Trajectories Using Hierarchical Geographical Timelines

With the development of computer vision technology, pedestrian trajectory tracking technology pedestrian re-recognition technology has been more and more widely used, and an explicit and accurate representation illustrating the spatial and temporal correlation of a pedestrian’s movement is the key to understanding his/her trajectory in space and time. A scalable visual analytics system called Hi-Geo-Ti is proposed that applies hierachical geographical timelines to allow its users to extract and visualize a pedestrian’s trajectory from a massive storage of images instantaneously. In particular, Hi-Geo-Ti incorporates semantic correlations produced by person re-identification with spatial and temporal attributes of the camera, based on which it creates an interactive combination of 3D trajectory map with 2D plan plot to visually resolve the spatial-temporal entanglement. Taking the transmission process of Covid-19 as case study, by combining with ReID technology, the assistance of proposed visualization system in the fight against the epidemic is demonstrated and user surveys are conducted to verify the effectiveness of proposed design. © 2022 Institute of Computing Technology. All rights reserved.

Acceptance of Sustained Utilization Behavior of Telemedicine in the Post-Covid-19 Era

The coronavirus disease 2019 (COVID-19) is spreading around the world, and Taiwan is no exception. Faced with the outbreak of the epidemic, the Taiwan government immediately ordered a policy of banning indoor dining. The main purpose of the present research is to extend a Theory of Planned Behavior (TPB) and Technology Acceptance Model (TAM) theoretical framework to explore acceptance of sustained utilization behavior of telemedicine in the post-COVID-19 era. An online survey was administered in Taiwan during the COVID-19 pandemic from February 22 to April 6, 2022, and a total of 359 responses were collected by convenience sampling method, and partial least square (PLS) analysis was deployed to examine the hypothesized relationships. The results showed that the sustained utilization behavior of telemedicine had independent significant associations with behavioral intentions;the behavioral intention had independent significant associations with subjective norms, attitudes, perceived behavioral control, perceived usefulness, and perceived ease of use. Moreover, perceived usefulness had independent significant associations with perceived ease of use. This study provides theoretical and practical insights into the psychological and behavioral processes of public use of telemedicine during the post-COVID-19 pandemic, thereby helping policymakers better understand the important developmental implications of telemedicine.

COMPARING CORTIMENT® AND PREDNISONE IN ULCERTATIVE COLITIS: A POPULATION-BASED STUDY OF OUTCOMES

Background: In August 2016 Cortiment® was approved for use in ulcerative colitis (UC) patients in Canada, but not approved for reimbursement;the Canadian Agency for Drugs and Technology in Health cited no comparable benefit for its use over other approved UC medications. Real-world data comparing Cortiment® to other UC medications is limited, especially during the COVID-19 pandemic where the use of steroids is counter-indicated for COVID-19-related outcomes. Aims: To examine the comparative risk of hospitalization, surgery, and infection after initiation of Cortiment® or oral corticosteroids among UC patients using real-world data Methods: Using population-based data from Alberta Canada, two cohorts were compared: 1. Patients dispensed Cortiment® and an ICD diagnostic code for UC [9: 556.X;10: K51.X] (August 1, 2016 to October 31, 2019);and, 2. Validated (algorithm) UC patients dispensed a >30 day supply or >500mg in 24 hours of prednisone/prednisolone (April 1, 2016 to October 31, 2019). All hospitalizations, IBD-surgery, or infections (i.e., pneumonia, c.diff, sepsis, tuberculosis) that occurred 6 or 12 months from initial medication dispensing were identified. Cox-proportional hazard models, with Hazard Ratios (HR), assessed comparative outcomes. Kaplan-Meier survival curves were created, and Poisson regression (or negative binomial) used to assess the Average Monthly Percentage Change (AMPC) with associated 95% confidence intervals (CI). Results: We identified 917 Cortiment® and 2,404 Prednisone patients. Over the study period, prednisone dispensing significantly decreased (AMPC:-2.53% [CI:-2.85,-2.21]) while Cortiment® remained stable. Dispensing of Cortiment® significantly decreased the hazard of hospitalization (all types, except surgery) at 12 months as compared to prednisone, and significantly decreased the hazard of an infection at both 6 and 12 months (Table 1, Fig 1). Conclusions: The use of Cortiment® in a real-world setting is associated with fewer deleterious outcomes, and its use during a pandemic should be preferred, especially when it's counterpart can exacerbate negative COVID-19-related outcomes. (Table Presented).

IMPACT OF THE COVID-19 PANDEMIC IN IBD PATIENT CARE

Background: The COVID-19 pandemic is affecting patients and healthcare providers worldwide. During the first wave of the pandemic, healthcare delivery shifted from in-person to virtual clinics. Non-urgent and some emergent procedures, including endoscopies, surgeries, and imaging, were delayed to limit the spread and divert resources to COVID-19. Aims: To assess the impact of the COVID-19 pandemic in care to IBD patients Methods: A survey study was conducted to assess the impact of the COVID-19 pandemic on IBD care. All patients had a virtual clinic appointment between March to July 2020 at either: University of Alberta Hospital or the University of Calgary Clinic. A section of the survey assessed patient experience of virtual clinics and delays in access to IBD care during the COVID-19 pandemic. Results: A total of 1581 patients were contacted to complete the survey. 628 patients agreed to participate in the survey, however not all patients completed each component. The mean age of patients who participated in the survey was 48 years (SD = 15.19). 408 patients responded to satisfaction/future use questions: 84.3% (344) patients agree/strongly agree they were comfortable communicating to the physician using the remote system, 77.5% (316) of patients agree/strongly agree that virtual clinic is an acceptable way to receive healthcare services, 84.8% (346) of patients agree/strongly agree they would use virtual care services again, and 82.6% (337) agree/strongly agree they were satisfied with the telehealth system. Additional challenges were reported by 228 patients. Fear and stress (infection risk/mental health concerns/unemployment) was reported by 57.4% (131) patients. Access to healthcare services, PPE, and community resources was a challenge experienced by 26.3% (60) patients. Additionally, 16.2% (37) patients experienced uncertainty around IBD-specific care, including procedures, treatments, labs, and medications. Overall, 17.3% of patients reported some type of delay in care by July 2020. Table 1 shows the proportion of patients with a delay by type of care and the median delay: 5.7% of patients with IBD had surgery delayed by a median of 10 weeks (8-16 weeks). Conclusions: While some delays in healthcare delivery occurred during the first wave of the pandemic, overall 82.7% of patients with IBD maintained their care without disruption. Sustaining healthcare delivery to the IBD community required adaptation to virtual care;however, patient satisfaction was overwhelming positive among patients with IBD.

RAPID DETECTION OF COVID-19 VIRUS BY DIGITAL PCR BASED ON MICROCAVITY ARRAY

Nucleic acid amplification detection is one of the most widely used molecular diagnostic techniques in recent years, which can rapidly and efficiently amplify the characteristic nucleotide sequences of pathogenic bacteria in the diagnosis of infectious diseases, it has been widely used in clinical diagnosis, disease screening and other fields. In this work, we report a micro-cavity digital PCR for rapid detection of pathogens on a silicon-based microfluidic chip. The device has the advantages of high flux, no pumping, rapid reaction, quantification and high sensitivity. © 2021 MicroTAS 2021 - 25th International Conference on Miniaturized Systems for Chemistry and Life Sciences. All rights reserved.

[Survey on infection source of a cold-chain product associated COVID-19 epidemic caused by 2019-nCoV Delta variant in Beijing].

Objective: To investigate the source and the transmission chain of a cold-chain product associated COVID-19 epidemic caused by 2019-nCoV Delta variant in Beijing. Methods: Epidemiological investigation were used to verify the exposure points of the cases. Close contacts were traced from the exposure points, and human and environmental samples were collected for nucleic acid tests. Positive samples were analyzed by gene sequencing. Results: A total of 112 cases of COVID-19 were reported in the epidemic from January 18 to February 6, 2022 in Beijing. Except for 1 case was uncertain, there were epidemiological links among 111 cases. The source of infection was the packages of imported cold-chain products from Southeast Asia, which were harvested and stored in a local cold-storage in January 2021, and packaged and sent to the cold-storage A in A district in June 2021, and then sold in batches in cold-storage B in B district from January 2022. The first case was infected in the handling of positive frozen products, and then 77 cases occurred due to working, eating and living together with the index case in the cold-storage B, cold-storage C and restaurant D. Besides the cold-storage B, C and the restaurant D, there were 16 sub-transmission chains, resulting in additional 35 cases. Conclusion: The epidemic indicated that the risk of 2019-nCoV infection from imported cold-chain products contaminated by package and highlighted the importance to strengthen the management of cold-chain industry in future.